PASCAL3D+. For PASCAL3D+ we consider more methods for comparison, including CSF [1]}, KSTA [2]}, BMM [3]}, CNS [4]}, NLO [5]}, RIKS [6]}, SPS [7]}, SFC [8]}, MUS [9]}, URN [10]}, C3DPO [11]} and DNRSFM [12]}. The results are shown in Tab. REF . PR-RRN and DNRSFM both achieve higher accuracy on all 8 selected categories of PASCAL3D+ than other methods, while the PR-RRN performs better than DNR on average and especially on Diningtable class. The results show that PR-RRN also performs well on categorical objects reconstruction tasks.
